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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
874-879

Spectrum signal identification based on frequency-domain superposition and deep learning

Zhou Yuhanga,b
Hou Jina,b
Li Jiaxina,b
Li Huisena,b
a. IPSOM Laboratory of School of Information Science & Technology, b. National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0386

Abstract

In the field of spectrum monitoring, it is difficult to identify wideband spectrum signals because of wide frequency band and limited receiver sampling steps. This paper proposed a spectrum signal identification method combining frequency-domain superposition preprocessing and object detection. The domain superposition method accumulated multiple frames of spectrum data to highlight weak signals in the spectrum, then sent the spectrum images to the improved object detection network for signal type identification. Experiments show that the proposed method can effectively identify 7 kinds of spectrum signals. The proposed frequency-domain superposition preprocessing can improve the accuracy of the object detection algorithm and improve the identification ability of weak signals in the spectrum. When the signal-to-noise ratio is 6 dB, the algorithm can achieve an average recognition rate of 89.7%.

Foundation Support

国家重点研发计划资助项目(2020YFB1711902)
四川省科技计划资助项目(2020SYSY0016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0386
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Technology of Network & Communication
Pages: 874-879
Serial Number: 1001-3695(2023)03-038-0874-06

Publish History

[2022-10-19] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

周宇航, 侯进, 李嘉新, 等. 基于频域叠加和深度学习的频谱信号识别 [J]. 计算机应用研究, 2023, 40 (3): 874-879. (Zhou Yuhang, Hou Jin, Li Jiaxin, et al. Spectrum signal identification based on frequency-domain superposition and deep learning [J]. Application Research of Computers, 2023, 40 (3): 874-879. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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